Wavelet meets actogram
Amherst College Digital Collections > The Octagon
| Creator | Leise, Tanya L. (Department of Mathematics and Statistics, Amherst College) |
|---|---|
| Creator | Schwartz, William J. (Department of Neurology, University of Massachusetts Medical School) |
| Creator | Indic, Premananda (Department of Neurology, University of Massachusetts Medical School) |
| Creator | Paul, Matthew J. (Neuroscience Institute, Georgia State University) |
| Title | Wavelet meets actogram |
| Abstract | Determining phase markers and period length (τ) from experimental data sets is an essential task for most everyone engaged in biological rhythms research. A variety of methods have been developed, such as sinusoid fitting and the Fourier periodogram, which assume a fixed period and amplitude. Most biological oscillations exhibit fluctuations in both period and amplitude, leading to the recent interest in the application of wavelet transforms that can measure how rhythms vary over time. In this short article, we examine how wavelet-based analysis methods can be extended to detect activity onsets as well as onsets in the temperature rhythms of rodents. |
| Journal Title | Journal of Biological Rhythms |
| Publication Date | February 1, 2013 |
| Identifier (DOI) | 10.1177/0748730412468693 |
| Citation | Leise, Tanya L. et al. “Wavelet Meets Actogram.” Journal of Biological Rhythms 28.1 (2013): 62–68. |
| Languages | English |
| Genre | Article |
| Subject | Biological rhythms |
| Part of | The Amherst College Octagon |
| Repository | The Amherst College Octagon |
| Access and Use | Creative Commons Attribution-NonCommercial-NoDerivatives license (CC BY NC ND 4.0) |